Textkernel: Crafting a Labour Market without Information Boundaries

Next to that, Textkernel delivers foundational technology for optimization, digitalization, and data science projects.It has been offering AI-enabled solutions to connect people and jobs from as early as 2001.Founded as a spin-off of three universities researching the application of machine learning to natural language processing, Textkernel uses machine learning and deep learning models to create taxonomies and ontologies to structure and enrich data. It classifies the customers’ data into taxonomies and ontologies to analyse and derive knowledge to understand the talent pool’s skills better. While an organization can use Textkernel’s AI tools to leverage talent already in their networks, close potential skill gaps, and anticipate workforce trends, a staffing agency can source and place top talent faster, engage with their database, and be the effective bridge between candidates and employers.

A major advantage of employing Textkernel is that the private data of an organization is connected with the publicly available data about the labour market to mimic what’s actually happening in the world, making the information provided truly actionable. That’s why one of the global leaders in staffing is now deploying Textkernel’s solutions across geographies. With multiple offices in various locations, the client organization was facing a challenge in having a quick look at the talent pool to source and address the job requisitions in an effective manner. Textkernel employed their taxonomies to structure the data based on the historic demand that the organization received over time. “We helped them see trends in that data and create particular profiles of people who had been sourced,” says Mulder. By predicting the demand of customers, the client was able to source ahead of the demand (just in time) the right amount of talent that they could place across organizations, and therefore, their placement ratios increased. In addition, Textkernel’s technology enabled them to compare every incoming candidate with all their jobs, make suggestions to them, and increase the ROI on their Recruitment spend.

It was made possible because Textkernel’s technology has been able to gain a holistic view of the clients’ data as well as the entire recruitment landscape, taking the information boundaries out of the equation. Mulder believes that a labour market, without information boundaries, creates a more prosperous world for people and companies, and that’s what the team at Textkernel is aiming for.